AI webinar: An Introduction to Neural Architecture Search
This is online webinar. You can watch, follow, Q&A with instructors from anywhere around the world. Miss the live session due to time zone or conflict? you can learn session replay at any time afterwards.
Start date/time: 7/19, 10am PT (US pacific time). check your local time.
Deep learning has seen an explosion of interest since 2012, and since then, deep networks have gotten more complicated and more specialized. How do researchers know which neural network to use for a given dataset? Neural Architecture Search (NAS), which is a subset of hyperparameter optimization, is the process of automating the search to find the best neural architecture for a given dataset.
In this webinar, we will give a survey of the NAS literature, including details for some of the most popular techniques such as reinforcement learning and Bayesian optimization.